Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
On the identification and analysis of p2p traffic aggregation
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
On the validation of traffic classification algorithms
PAM'08 Proceedings of the 9th international conference on Passive and active network measurement
On privacy of skype VoIP calls
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Traffic analysis attacks on Skype VoIP calls
Computer Communications
Characterizing per-application network traffic using entropy
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Skype applies strong encryption to provide secure communication inside the whole Skype network. The communication ports of clients are chosen randomly. As a consequence, traditional port based or payload based identification of Skype traffic cannot be applied. In this paper we present a novel flow dynamics based identification method to discover both Skype hosts and voice calls. The method is based only on packet headers and extracted flow level information. This method is the second algorithm from our research. It has a significant improvement over our first method [1]. It can detect the randomly selected communication port of the Skype client, which makes the identification more reliable. The whole identification process is scripted in Transact-SQL, thus it can be executed automatically. We also present the validation of the new algorithm together with the analysis of the identification results.